000 04979nam a22006615i 4500
001 978-3-540-74951-6
003 DE-He213
005 20240730173956.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540749516
_9978-3-540-74951-6
024 7 _a10.1007/978-3-540-74951-6
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aFrom Web to Social Web: Discovering and Deploying User and Content Profiles
_h[electronic resource] :
_bWorkshop on Web Mining, WebMine 2006, Berlin, Germany, September 18, 2006 /
_cedited by Bettina Berendt, Andreas Hotho, Dunja Mladenic, Giovanni Semeraro.
250 _a1st ed. 2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2007.
300 _aXI, 164 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4737
505 0 _aAn Analysis of Bloggers, Topics and Tags for a Blog Recommender System -- Combining Web Usage Mining and XML Mining in a Real Case Study -- Extracting and Using Attribute-Value Pairs from Product Descriptions on the Web -- Discovering User Profiles from Semantically Indexed Scientific Papers -- Web Usage Mining in Noisy and Ambiguous Environments: Exploring the Role of Concept Hierarchies, Compression, and Robust User Profiles -- From World-Wide-Web Mining to Worldwide Webmining: Understanding People's Diversity for Effective Knowledge Discovery -- Aspect-Based Tagging for Collaborative Media Organization -- Contextual Recommendation.
520 _aThe World Wide Web is a rich source of information about human behavior. It containslarge amount of data organizedvia interconnected Web pages,traces of information search, user feedback on items of interest, etc. In addition to large data volumes, one of the important characteristics of the Web is its dynamics, where content,structure and usagearechanging over time. This showsup in the rise of related research areas like communities of practice, knowledge mana- ment, Web communities, and peer-to-peer. In particular the notion of colla- rative work and thus the need of its systematic analysis become more and more important. For instance, to develop e?ective Web applications, it is essential to analyze patterns hidden in the usage of Web resources, their contents and their interconnections. Machine learning and data mining methods have been used extensively to ?nd patterns in usage of the network by exploiting both contents and link structures. We have investigated these topics in a series of workshops on Semantic Web Mining (2001, 2002) at the European Conference on Machine Learning / Pr- ciples and Practice of Knowledge Discovery from Databases (ECML/PKDD) conference series, in the selection of papers for the post-proceedings of the - ropean Web Mining Forum 2003 Workshop, published as the Springer LNAI volume 3209 "Web Mining: From Web to Semantic Web" in 2004, as well as in the Knowledge Discovery and Ontologies workshop in 2004 and in the selection ofpapersfor thepost-proceedingsofthe ECML/PKDD2005jointworkshopson Web Mining (European Web Mining Forum) and on Knowledge Discovery and.
650 0 _aArtificial intelligence.
_93407
650 0 _aData mining.
_93907
650 0 _aComputer networks .
_931572
650 0 _aDatabase management.
_93157
650 0 _aApplication software.
_9110583
650 0 _aComputers and civilization.
_921733
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aData Mining and Knowledge Discovery.
_9110584
650 2 4 _aComputer Communication Networks.
_9110585
650 2 4 _aDatabase Management.
_93157
650 2 4 _aComputer and Information Systems Applications.
_9110586
650 2 4 _aComputers and Society.
_931668
700 1 _aBerendt, Bettina.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9110587
700 1 _aHotho, Andreas.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9110588
700 1 _aMladenic, Dunja.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9110589
700 1 _aSemeraro, Giovanni.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9110590
710 2 _aSpringerLink (Online service)
_9110591
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540749509
776 0 8 _iPrinted edition:
_z9783540843856
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4737
_9110592
856 4 0 _uhttps://doi.org/10.1007/978-3-540-74951-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c89197
_d89197